Why is Biofeedback Ideal for Stroke Recovery?
With Dr. Nick Housley 5th Oct, 21Transcript
Why is Biofeedback Ideal for Stroke Recovery?
Biofeedback plays a significant role in stroke recovery due to the possibility of misinterpretation of visual feedback. You may think you have not made any improvements, but the robotic devices can actually detect even the tiniest progress.
The benefits of AI devices
The nice thing about having AI devices is that they provide some ground trick and objective reality to what we refer to as our internal state. For instance, you believe you can do some specific task and trust reality but wish to verify it on these AI devices.
Another best thing about these robotic systems is that even if you do have a few impairments, you can use them as an objective quantification, provided it has already detected those limitations and impairments. And it is possible with these AI devices because they have high felony data, including cases where individuals have very few visual impairments. But they may have problems incorporating cognitive movements, or some individuals may even have detecting visual impairments.
How do the AI devices use biofeedback for stroke recovery?
In real life, you may not only be thinking about moving your hand, but it will always be in the context of some of the target tasks. Therefore, these devices can make things complicated for people; so that you can change the environment of cues, a.k.a. virtual environment or games, and make them more complex and challenging for someone. So there are a variety of ways in actual and virtual environments to make things applicable for a variety of individuals with different impairments
Further, AI and robotic devices stimulate the desire to play, but also require you to map the demands of the game into commands. It will generate motor performance, then execute those commands and check if you have done it correctly.
So it is a big task because even the game is probably simple, the commands may be complex ones. But it certainly causes stimulation. Therefore you may want to learn when your stimulation sort of hits a threshold and know when they kind of pause and give yourself a break to recover. You may not have that all the time, but when you have it, you may feel overwhelmed and need to pause.
How can you use mental bandwidth to measure progress in stroke recovery?
There is another important metric that you can quantify over time, and that is how much mental bandwidth do you have. It means how can you actually sustain, and you can measure it over time, and say are you able to sustain longer and longer cognitively and physically demanding tasks. That is a useful metric that you can use to quantify improvement as well, especially for someone who has more functional stability.
Conclusion
To wrap it up, one can say that biofeedback is crucial in stroke recovery and is very useful to measure progress. It is because biofeedback on robotic and AI devices is very accurate and can detect little improvement in your movement. It will give you the motivation to continue to do your rehabilitation.